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Python Analyst Jobs in Pittsburgh, PA (NOW HIRING)

Core Python, strong Algorithm and Analytical thinking, SQL, Experience in risk analytics is preferred. You will contribute to TCAP as a central aggregator and modeling engine across Treasury, Risk ...

Python Developer

Pittsburgh, PA · On-site

$48.75 - $67.25/hr

Data Analysis/Machine Learning. * Testing/Debugging/Security. * Writing, testing, and debugging Python code for various applications. * Developing server-side logic, back-end components, and APIs.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

... using Python libraries (like pandas or NumPy). * Collaboration: Work closely with business users, analysts, and other technology teams to gather requirements, translate them into technical ...

Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

... using Python libraries (like pandas or NumPy). * Collaboration: Work closely with business users, analysts, and other technology teams to gather requirements, translate them into technical ...

Marketing Analyst

Pittsburgh, PA · On-site

$40 - $45/hr

Perform audience feasibility analysis and list sizing to validate reach, suppressions, and expected ... Python * SQL * Excel ----- Education: * Bachelor's required. Salesforce Marketing Cloud e-mail ...

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Python Analyst information

See Pittsburgh, PA salary details

$31.8K

$77.2K

$127.1K

How much do python analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for python analyst in Pittsburgh, PA is $77,221.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,600.00 per year, depending on experience, location, and employer.

What does a Python analyst do?

A Python analyst uses Python programming to analyze data, develop models, and automate tasks. They often work with data analysis libraries like pandas and NumPy, and may create visualizations or reports to support decision-making.

What are the typical daily responsibilities of a Python Analyst?

Python Analysts spend their days gathering, cleaning, and analyzing large datasets to uncover actionable insights for their organizations. They write and maintain Python scripts to automate repetitive tasks and use data visualization tools to present their findings to stakeholders. Collaboration with data scientists, business analysts, and IT team members is common, as analysts work to translate data into meaningful recommendations. You'll also regularly validate data quality, troubleshoot code, and stay current with best practices in data analytics. This role offers a dynamic mix of technical work and cross-functional teamwork.

What is a Python Analyst job?

A Python Analyst is a professional who uses Python to analyze data, build models, and automate tasks. They work with large datasets, extract insights, and create reports to support decision-making. Their role often involves data cleaning, visualization, statistical analysis, and scripting for process automation. Python Analysts are commonly found in industries such as finance, healthcare, marketing, and technology. Strong analytical skills, programming expertise, and knowledge of data analysis libraries like Pandas and NumPy are essential for this role.

What are the key skills and qualifications needed to thrive in the Python Analyst position, and why are they important?

To thrive as a Python Analyst, you need strong proficiency in Python programming, data analysis, and statistical methods, often supported by a degree in computer science, mathematics, or a related field. Experience with data visualization tools, SQL databases, and certifications such as Microsoft Certified: Data Analyst Associate or relevant Python credentials are highly beneficial. Excellent problem-solving skills, attention to detail, and effective communication help set top candidates apart. These skills ensure the accurate analysis and presentation of data, enabling informed decision-making and collaboration within organizations.

What are the most commonly searched types of Python Analyst jobs in Pittsburgh, PA? The most popular types of Python Analyst jobs in Pittsburgh, PA are:
What are popular job titles related to Python Analyst jobs in Pittsburgh, PA? For Python Analyst jobs in Pittsburgh, PA, the most frequently searched job titles are:
What cities near Pittsburgh, PA are hiring for Python Analyst jobs? Cities near Pittsburgh, PA with the most Python Analyst job openings:

Hiring: Data Analytics Engineer (Python / AI / ML) at Pittsburgh, PA

Realtech Services

Pittsburgh, PA • On-site

$111K - $133K/yr

Contractor

This job post has expired today. Applications are no longer accepted.


Job description


Job Title: Data Analytics Engineer (Python / AI / ML)

Location: Pittsburgh, PA
 


Job Summary

We are seeking a Data Analytics Engineer with strong experience in Python, Data Analytics, AI, and Machine Learning to support analytics initiatives for FNB. The ideal candidate must be local to Pittsburgh, PA, available for in‑person interviews, and have prior experience working in the banking or financial services domain.


Key Responsibilities

  • Design, develop, and implement data analytics solutions using Python
  • Analyze large datasets to identify trends, patterns, and insights
  • Build, evaluate, and deploy ML/AI models to support business decision‑making
  • Work closely with business stakeholders and data teams to understand requirements
  • Develop data pipelines and data validation processes
  • Perform data preprocessing, feature engineering, and model tuning
  • Create dashboards, reports, and documentation for analytics solutions
  • Ensure data accuracy, performance, and security compliance
  • Support production issues and continuous improvements

Required Skills

  • Strong hands‑on experience with Python
  • Experience in Data Analytics, AI, and Machine Learning
  • Proficiency with libraries such as Pandas, NumPy, Scikit‑learn
  • Strong SQL skills for data extraction and analysis
  • Experience working with large datasets
  • Understanding of statistical analysis and predictive modeling
  • Experience in banking or financial services domain

Nice‑to‑Have Skills

  • Exposure to cloud platforms (AWS / Azure)
  • Experience with data visualization tools (Tableau, Power BI, or similar)
  • Knowledge of Big Data technologies is a plus
  • Familiarity with Agile/Scrum methodologies

Additional Requirements

  • Must be local to Pittsburgh, PA
  • In‑person interview required
  • GC or US Citizen only
  • Strong communication and problem‑solving skills